- 빅데이터/인공지능
- Better Ways to Predict Who’s Going to Quit
 - Exploring DNA with Deep Learning
 - Facebook paid people to listen to voice recordings, too
 - SickZil-Machine - Manga/Comics Translation Helper Tool: 만화 대사 제거하는 도구(딥러닝 기술!)
 - 파이썬 포 에브리바디! 『데이터를 다루며 배우는 파이썬』
 - This AI startup claims to automate app making but actually just uses humans
 - This colab demonstrates the steps to use the DeepLab model to perform semantic segmentation on a sample input image.
 - Extensive EDA and Modeling XGB Hyperopt
 - DeepMind’s losses display the challenges of the AI industry
 - Deep Learning for Recommender Systems
 - [독서광] 시간은 흐르지 않는다(직접 작성한 글)
 - Quiz: Test Your Knowledge about AI and Machine Learning
 - NN-SVG - Publication-ready NN-architecture schematics. : 신경망 아키텍처 다이어그램을 쉽게 그리는 멋진 도구
 - '바보야, 문제는 데이터야!' AI가 프로젝트가 폭망한 6가지 이유
 - 패턴 찾기·노이즈 추적에 효과적인 비지도 학습 알아보기
 - Theories of Error Back-Propagation in the Brain
 - We Analysed the 527,350 Facebook Ads placed by the US Presidential Candidates. Here Are The Results.
 - Facebook Open-Sources Deep-Learning Recommendation Model DLRM
 - N-Shot Learning: Learning More with Less Data
 - Game music training using Pytorch
 - 약속을 지키지 못한 인간뇌 프로젝트(Human Brain Project)
 - LPHABET’S AI MIGHT BE ABLE TO PREDICT KIDNEY DISEASE
 - IoT Signals by Microsoft
 - Use Kaggle to start (and guide) your ML/ Data Science journey — Why and How
 - The Data Engineering Cookbook
 - A (Very) Technical Look at Creating an AI to Restore and Colorize Photos
 - Faster Neural Network Training with Data Echoing
 - Accenture Technology Vision 2019
 - ADAS와 자율주행, 그리고 SOTIF
 - 자율주행에 대한 사고의 전환
 - A more human approach to artificial intelligence
 - 챗봇 구축 플랫폼 19선… 일부는 코딩 몰라도 가능
 - The Hidden Costs of Automated Thinking
 - Tesla will add Netflix and YouTube streaming to its cars
 - The forgotten part of memory
 - 딥 러닝을 이용한 자연어 처리 입문
 - lyft autonomous vehicle dataset
 - Facial Recognition Is Already Here: These Are The 30+ US Companies Testing The Technology
 - Gil Strang is still going strong, online and in print
 - THE NEUROLOGIST WHO HACKED HIS BRAIN—AND ALMOST LOST HIS MIND
 - Amazon’s Most Ambitious Research Project Is a Convenience Store
 - Uber made a blueprint for safe self-driving cars it wants the rest of the industry to follow
 - Why did you quit machine learning?
 - Arrow of time and its reversal on the IBM quantum computer
 - INTEL PREPARES TO GRAFT GOOGLE’S BFLOAT16 ONTO PROCESSORS
 - KEIT PD 이슈리포트 2019-7월호 : 이슈3(자율주행차 인공지능 상용화기술과 산업전망)
 
 - 암호화폐/블록체인
 - 읽을거리
- [펌] 고양이에게 스마트밴드를 채워보니
 - The Fearless Organization(심리적 안전에 대한 책 정리(한국어))
 - Cloudflare S-1
 - Generation Z is stressed, depressed and exam-obsessed
 - 'ZPD(Zero Party Data)'란? 마케터에게 필요한 이유는?
 - Résumés Are Starting to Look Like Instagram—and Sometimes Even Tinder
 - Could the Apollo 11 moon landing be duplicated today? ‘Lots of luck with that’
 - Don’t Put a Digital Expert in Charge of Your Digital Transformation
 - Boeing 737 MAX accident description (PDF)
 - '가장 불규칙한 언어'인 영어로 글을 잘 쓰기 위한 팁
 - The US Navy will replace its touchscreen controls with mechanical ones on its destroyers
 - How Perfectionists Can Get Out of Their Own Way
 - Blue Shuttle – How the Air Force influenced the STS design process
 - 보잉 비행기 네트워크 망에서 취약점 다수 나오긴 했는데
 - The Metamorphosis
 - Backblaze Hard Drive Stats Q2 2019
 - AP Sources: Boeing changing Max software to use 2 computers
 - How to onboard a new hire
 - 상대 논의 내부로 들어가 묻되 ‘옆길’로 빠지진 말아야
 - These Images Of An F-22 Raptor's Crumbling Radar Absorbent Skin Are Fascinating
 - The Slackification of the American Home
 - The coming mass extinction of Fortune 500 companies
 - Work on production line of Boeing 737 Max ‘not adequately funded’
 - The Roots of Boeing’s 737 Max Crisis: A Regulator Relaxes Its Oversight
 - Here’s Why We’ve Failed to Figure Out Why Infrastructure Costs So Much
 - The Rise of Coffee Shaming
 - Half a century after Apollo, why haven’t we been back to the Moon?
 - 2012-2018 스마트폰 사용률, 현재 사용 & 향후 구입 예정 브랜드 by 갤럽
 
 
토요일, 8월 17, 2019
[B급 프로그래머] 8월 2주 소식(빅데이터/인공지능, 암호화폐/블록체인, 읽을거리 부문)
(오늘의 짤방: 등산의 비중이 18%나 됐었던것도 놀랍고..
쇼핑/외식 12.4% -> 5.2%로 감소도 놀랍다....
음주도 11.6%에서 2.8%로 감소 via @heisland)
EOB
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